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FPGA-Based Wigner-Hough Transform System for Detection and Parameter Extraction of LPI Radar LFMCW Signals

Guner, Kani K.; Gulum, Taylan O.; Erkmen, Burcu


DataCite XML

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/236212</identifier>
  <creators>
    <creator>
      <creatorName>Guner, Kani K.</creatorName>
      <givenName>Kani K.</givenName>
      <familyName>Guner</familyName>
      <affiliation>Turkish Naval Forces Headquarters, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Gulum, Taylan O.</creatorName>
      <givenName>Taylan O.</givenName>
      <familyName>Gulum</familyName>
    </creator>
    <creator>
      <creatorName>Erkmen, Burcu</creatorName>
      <givenName>Burcu</givenName>
      <familyName>Erkmen</familyName>
      <affiliation>Yildiz Tech Univ, Dept Elect &amp; Commun Engn, TR-34220 Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Fpga-Based Wigner-Hough Transform System For Detection And Parameter Extraction Of Lpi Radar Lfmcw Signals</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/236212</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/TIM.2021.3060584</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Low probability of intercept (LPI) radars using linear frequency-modulated continuous waveforms (LFMCWs) is rapidly proliferating in the military domain and posing a serious challenge to conventional electronic support receivers (ESRs). In this article, we provide a practical approach that can be used in digital ESR systems for real-time LFMCW radar signal detection and parameter extraction under challenging SNR levels. We proposed a modified version of the Wigner-Ville distribution (WVD), namely, short-time Wigner distribution (STWD), postprocessing steps, e.g., column-based thresholding of STWD combined with the Hough transform (HT), and a field-programmable gate array (FPGA) design as an embedded solution with low computational complexity. The performance of the proposed system is tested with MATLAB and hardware simulations using a signal database generated with different signal-to-noise ratio (SNR) levels. The system is then embedded into a Virtex-7 FPGA where the performance evaluations showed satisfactory detection results down to -6-dB SNR level, and parameter extraction results down to -8-dB SNR level.</description>
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